About the job Senior Data Scientist (GenAI)
We're seeking a talented AI professional to drive transformative change in our client's organization. As a key member of the AI team, you'll develop and deploy cutting-edge Generative AI (GenAI) solutions that unlock new capabilities and drive significant productivity gains.
Transforming Business Outcomes
You'll work closely with stakeholders, data scientists, and engineers to identify and deliver high-impact GenAI-driven business use cases. Your expertise will enable the bank to stay ahead of the curve, leveraging the latest advancements in AI to drive innovation and growth.
Key Responsibilities:
- Drive Innovation: Collaborate with cross-functional teams to develop and deploy GenAI solutions that drive business value.
- Technical Leadership: Research, experiment, and develop performant GenAI capabilities that meet strategic project objectives.
- Solution Development: Design, prototype, and deploy GenAI applications using agile methodologies, ensuring seamless integration into the bank's ecosystem.
- Expertise and Advisory: Stay updated on emerging AI advancements, providing expert advice and contributing to validation and benchmarking exercises.
- Stakeholder Management: Effectively manage stakeholder interactions, ensuring successful project outcomes.
Essential Requirements:
- Technical Expertise: Postgraduate degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science) with a strong foundation in Deep Learning, Python programming, and data science tools like Pytorch and LangChain.
- Proven Experience: 5+ years of advanced data science experience, preferably in banking/financial services, with a proven track record of solving complex business problems using data-driven approaches.
- GenAI Expertise: Experience in end-to-end GenAI/LLM deployment, with a strong portfolio of successful projects.
- Soft Skills: Excellent communication, project management, and data visualization skills, with the ability to work collaboratively in a fast-paced environment.
Desirable Qualifications:
- AI Research: AI-related thesis/publications on GenAI topics, demonstrating thought leadership and expertise.
- Advanced AI Skills: Experience in Agentic AI, Visual/Audio/Multimodal generation, or other cutting-edge AI technologies.
- Domain Expertise: Passion and expertise in Market Portfolio Optimization, Econometric Modelling, or Forecasting, with the ability to apply these skills to drive business value.
